Langan, Dean;
Wade, Angie;
(2021)
Automated, receptive, interactive: a classroom-based data generation exercise.
In:
Proceedings of the 10th Australian Conference on Teaching Statistics: OZCOTS 2021.
OZCOTS: Online.
Preview |
Text
Langan_full paper - after review - clean.pdf Download (507kB) | Preview |
Abstract
It is easier to engage with statistics training when presented with examples from familiar subject areas. However, when teaching students of varying professional backgrounds, finding relatable examples can be especially challenging. Classroom-based data generation exercises offer a solution with students involved in the process from data collection through to choice and use of appropriate analyses. One such exercise that forms an integral part of an introductory statistics course is based on beermat (coaster) flipping, a popular pub game in the UK. We recently moved the data collection process online allowing students to enter data via smartphones. Furthermore, a web application has been developed using the shiny package in R. This application automizes data analysis and allows students to explore the results interactively and independently. The application comes to life with visual demonstrations of core concepts such as the central limit theorem and bootstrapping. This technology further engages students and the ensuing discussion comparing outputs and interpretation is a welcome addition to classroom interactivity. We present details of this exercise, focussing on use of the web application, example outputs, student feedback and guidance for best practice to maximise learning outcomes.
| Type: | Proceedings paper |
|---|---|
| Title: | Automated, receptive, interactive: a classroom-based data generation exercise |
| Event: | OZCOTS 2021 |
| Open access status: | An open access version is available from UCL Discovery |
| Publisher version: | https://anzsc2021.com.au/ozcots-conference/ |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL GOS Institute of Child Health > Population, Policy and Practice Dept UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL GOS Institute of Child Health UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences |
| URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10155271 |
Archive Staff Only
 |
View Item |
